Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Engineer role.
Rezi rewrites your resume against Benchling's job description. Free.
Tailor your resume to this Data Engineer role.
Rezi rewrites your resume against Benchling's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Engineer posting at Benchling — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Engineer posting at Benchling — free, in seconds.
About the Role
Benchling is building AI & Data Engineering (AIDE), a small, autonomous team within our Security & IT organization. AIDE owns internal AI tooling, adoption, and AI-assisted workflows across the company; cross-functional and company-wide agentic AI applications; and the enterprise data engineering, analytics architecture, and source-of-truth datasets. This role supports the entire company, not just one team, and needs to grow to support expanding initiatives. You will own core pipelines end to end, partner on data architecture, and help build the trusted data foundation for AIDE's AI initiatives.
Responsibilities
- Own core data pipelines end to end: Build and operate the ELT pipeline that moves data from Benchling's product, Salesforce, and third-party systems into Snowflake, modeled with dbt, and built to production standards — testing, monitoring, schema versioning — that hold up as usage scales.
- Build the data foundation for AIDE's AI initiatives: Partner with AIDE's AI engineering side to make governed, trustworthy data available for the agentic AI tooling and internal AI applications the team ships.
- Own data governance and pipeline health: Maintain Snowflake access controls (RBAC), monitor data quality, uphold PII-handling and data-access policy, and manage warehouse cost and performance as usage grows.
- Contribute to platform strategy: Weigh in on bigger structural decisions — warehouse architecture, semantic layer/metrics store design— alongside the rest of the data and AI engineering team.
Requirements
- 3+ years of professional experience building and operating production data pipelines — ingestion, transformation, and modeling data into a cloud data warehouse.
- Strong SQL and Python skills; hands on experience with data modeling methodologies and tools, preferable with dbt.
- Experience applying software engineering practices to data systems — version control, code review, CI/CD, automated testing — and comfort working with cloud infrastructure (AWS or similar) supporting production pipelines.
- Experience with Snowflake or a comparable modern cloud data warehouse in production.
- Comfort with orchestration tooling (Airflow or similar) for scheduled data jobs.
- Track record supporting many stakeholders across departments such as Sales, CS, Product, Finance, rather than a single internal customer.
- Understanding of data privacy, governance, quality, and testing frameworks and best practices.
- Strong communication skills; comfortable translating ambiguous requests from non-technical stakeholders into a scoped, buildable data solution.
- Comfortable in a small, fast-moving, still-forming team — AIDE only stood up in its current form in mid-2026 and is actively defining its own processes.
- Interest in learning more about life science (prior knowledge is not required).
Skills
- SQL
- Python
- dbt
- AWS
- Snowflake
- Airflow
- data modeling
- data pipelines
- data warehouse
- ELT
- CI/CD
- automated testing
- version control
- code review
- data governance
- data quality
- PII-handling
- RBAC
- BI
- analytics architecture
- Sigma
- Omni
- Looker
- Tableau
- Salesforce
- AI
- LLM observability
Location
- Remote
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- 3+ years of professional experience
About the Company
- We are rebuilding biotech for the AI era.
- Benchling is the AI platform for biotech R&D.
- Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows.
- Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma.
- We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day.
- Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day.
- Benchling's mission is to unlock the power of biotechnology.
- The world's most innovative biotech companies use Benchling's R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market.
- Come help us bring modern software to modern science.
Equal Opportunity
- We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.
- We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.